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Career Opportunity

Specialized Analytics Intermediate Analyst

  • Primary Location: India,Tamil Nadu,Chennai
  • Education: Bachelor's Degree
  • Job Function: Decision Management
  • Schedule: Full-time
  • Shift: Day Job
  • Employee Status: Regular
  • Travel Time: No
  • Job ID: 18076263

Description


The Data Sciences team is a global capability team which has the mandate to accelerate Citibank’s journey towards being future ready. The Key objectives are:

  • Build strong capabilities in Big Data, Machine Learning, Digital & FinTech to solve key business challenges
  • Continuously watch and learn from evolving trends
  • Be forward compatible - explore new problem solving methods

Core Responsibilities:

  • Develop new Solutions that have high impact on revenue, expense management or customer experience.
  • Use advanced Platforms (Big Data) and capabilities (Machine Learning) to improve ability to engage with customers. 
  • Make consistent and tangible contributions towards developing  capabilities in Big Data, Machine Learning and Pattern mining : Build solutions that improve customer targeting- like personalized offers (Recommender systems) , Pricing/Product optimization, Journey mapping, Customer Acquisitions – Digital/Clickstream based real time offers and Channel management
  • Create solution templates that can accelerate the  industrialization of Big Data and Machine Learning solutions and best practices across markets
  • Organizational Development: Institutionalize analytic next gen learnings across the site
  • Mentorship Responsibilities: Act as a mentor to other associates on Big Data and Machine Learning solutions
  • Relationship Management and Communication: Effectively communicate strategic considerations with team, partners and senior management

Qualifications


The Data Sciences team is a global capability team which has the mandate to accelerate Citibank’s journey towards being future ready. The Key objectives are:

  • Build strong capabilities in Big Data, Machine Learning, Digital & FinTech to solve key business challenges
  • Continuously watch and learn from evolving trends
  • Be forward compatible - explore new problem solving methods

Core Responsibilities:

  • Develop new Solutions that have high impact on revenue, expense management or customer experience.
  • Use advanced Platforms (Big Data) and capabilities (Machine Learning) to improve ability to engage with customers. 
  • Make consistent and tangible contributions towards developing  capabilities in Big Data, Machine Learning and Pattern mining : Build solutions that improve customer targeting- like personalized offers (Recommender systems) , Pricing/Product optimization, Journey mapping, Customer Acquisitions – Digital/Clickstream based real time offers and Channel management
  • Create solution templates that can accelerate the  industrialization of Big Data and Machine Learning solutions and best practices across markets
  • Organizational Development: Institutionalize analytic next gen learnings across the site
  • Mentorship Responsibilities: Act as a mentor to other associates on Big Data and Machine Learning solutions
  • Relationship Management and Communication: Effectively communicate strategic considerations with team, partners and senior management